Key papers

• From Classification to Localization and Clinical Validation: Large-Scale Development of a Deep Learning System for Thoracic Disease Detection on Chest Radiographs in Thailand (2026)
  Isarun Chamveha et al.
  5.01
• Partial Information Decomposition as a Multi-Contrast 3D MRI Selection Strategy for Resource-Constrained Deep Neural Network Training in Brain Tumor Segmentation (2026)
  Agamdeep Chopra et al.
  5.01
• Spatial Normalization for Cross-Domain Retinal Layer Segmentation in Optical Coherence Tomography (2026)
  Iker Moran-Cavero et al.
  5.01
• Local Label-Informed Feature Transfer for Generating Ground-Truth Medical Images: A Comparison of GAN- and Diffusion-Based Approaches (2026)
  Rick Wilming et al.
  5.01
• Anatomy-Aware 3D Mesh Refinement of Pericardium Segmentations on Computed Tomography (2026)
  Andreas W. Aspe et al.
  5.01
• Unsupervised Metal Artifact Reduction in Dental CBCT using Fine-tuned Cycle-Consistent Adversarial Networks (2026)
  G. L. T. Chamika et al.
  5.01
• ASTRA-Net: Anatomy-Specific Transfer and Representation Alignment for Drug-Induced Sleep Endoscopy Segmentation (2026)
  Suhua Sun et al.
  5.01
• Risk-Routed Implicit Boundary Refinement for Robust Ultrasound Image Segmentation (2026)
  Jingguo Qu et al.
  5.01
• GLI-AL: A Multi-Modal Glioma MRI Label Resource with Unified Anatomy-Lesion Labels (2026)
  Xingyu Xiang et al.
  5.01
• Bowel Obstruction Detection and Localization on Abdominal CT with Deep Learning (2026)
  Moritz Vandenhirtz et al.
  5.01
• SLIP: Segmentation with Low-latency Interactive Prompting for 3D Medical Images (2026)
  Baptiste Podvin et al.
  5.01
• MGML: A Plug-and-play Meta-guided Multi-modal Learning Framework For Incomplete Multimodal Brain Tumor Segmentation (2025)
  Yulong Zou, Bo Liu, Cun-Jing Zheng, et al.
  4.47
• EMBRACE: A Multi-task Framework for Comprehensive Quality Assessment in Cleavage-stage Embryo (2026)
  Anwar Hussain Sofi et al.
  4.39
• TRACE-PCa: Predicting Prostate Cancer Progression from Longitudinal MRI During Active Surveillance (2026)
  Hongye Zeng et al.
  4.39
• TCAM-Diff: Triplane-Aware Cross-Attention Medical Diffusion Model (2026)
  Zhenkai Zhang et al.
  4.39
• A novel unsupervised machine learning strategy to handle multimodal cardiac PET/MRI data (2026)
  Brunnhilde Ponsi (Nantes Universit\'e et al.
  4.39
• Comparing Spectrogram Front-Ends for Abnormal Heart-Sound Detection with a Convolutional Neural Network (2026)
  Abhinav Pala et al.
  4.39
• FedCC: A Low-Resource Federated Adaptation of Foundation Models for Robust Corpus Callosum localization in Fetal Ultrasound Images (2026)
  Alessandro Di Matteo et al.
  4.39
• Counterfactual Explainability Framework With CycleGAN And Counterfactual-Classifier Alignnment Score for Retinal Disease Classification (2026)
  Kritanu Chattopadhyay et al.
  4.39
• A Dual Path Framework with Hotspot Guided Fusion for Three Dimensional CT to PET Synthesis in Head and Neck Cancer (2026)
  Mohd Maaz Khan et al.
  4.39
• ProMUSE: Progressive Multi-modal Uncertainty-guided Staged Evidential Alzheimer Disease Classification (2026)
  Long Doan et al.
  4.33
• A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities (2024)
  Ming Kang et al.
  4.13
• CLIMD: A Curriculum Learning Framework For Imbalanced Multimodal Diagnosis (2025)
  Kai Han, Chongwen Lyu, Lele Ma, et al.
  3.81
• Multi-Teacher Contrastive Distillation for Edge-Efficient Pathology Foundation Models (2026)
  Tim Lenz et al.
  3.51
• Complementary Roles of Image Classification and Vessel Segmentation in AI-Based Screening for Retinopathy of Prematurity Plus Disease in a Kenyan Preterm Cohort (2026)
  Fred Mutisya et al.
  3.51
• Learning from Complementary Ultrasound Representations for Liver Disease Classification (2026)
  Sabahattin Mert Daloglu et al.
  3.51
• Beyond Binary Detection: A Multi-Dimensional Taxonomy of Cancer Misinformation on Reddit (2026)
  Aria Pessianzadeh et al.
  3.51
• CGRL: Concept-Guided Pruning and Representation Learning for Whole-Slide Image Classification (2026)
  Thuc Huynh et al.
  3.51
• MAGE: Color-Invariant and Spatial Knowledge Distillation for Gastric Neoplasm Classification (2026)
  Jiho Jun et al.
  3.51
• Lesion Segmentation in Moderate to Severe Traumatic Brain Injury: An nnU-Net Based Approach with Adaptive Normalization in the AIMS-TBI 2025 Challenge (2026)
  Inhwa Son et al.
  3.51
• GigaPath-Flash and GigaTIME-Flash: Efficient Pathology Foundation Models for Whole-Slide and Tumor Microenvironment Analysis (2026)
  Naoto Usuyama et al.
  3.51
• Murrenet: Modeling Holistic Multimodal Interactions Between Histopathology And Genomic Profiles For Survival Prediction (2025)
  Mingxin Liu, Chengfei Cai, Jun Li, et al.
  2.87
• Multimodal Feature Prototype Learning For Interpretable And Discriminative Cancer Survival Prediction (2025)
  Shuo Jiang, Zhuwen Chen, Liaoman Xu, et al.
  2.55
• PI-NAIM: Path-integrated Neural Adaptive Imputation Model (2025)
  Afifa Khaled, Ebrahim Hamid Sumiea
  1.98
• Response-Aware Multimodal Learning for Post-Treatment Visual Acuity Forecasting (2026)
  Phuoc-Nguyen Bui et al.
  1.94
• Enhancing Blood Cells Classification using Hybrid Quantum Neural Networks (2026)
  Guilherme Cruz et al.
  1.89
• Energy-based Tissue Manifolds for Longitudinal Multiparametric MRI Analysis (2026)
  Kartikay Tehlan et al.
  1.83
• MPFlow: Multi-modal Posterior-Guided Flow Matching for Zero-Shot MRI Reconstruction (2026)
  Seunghoi Kim et al.
  1.78
• Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation (2026)
  Hong Liu et al.
  1.78
• GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification (2026)
  Jiao Wang et al.
  1.78
• HGP-Mamba: Integrating Histology and Generated Protein Features for Mamba-based Multimodal Survival Risk Prediction (2026)
  Jing Dai et al.
  1.78
• CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data (2026)
  Tianling Liu and Hongying Liu and Fanhua Shang and Lequan Yu and Tong Han and Liang Wan
  1.78
• Hierarchical Text-Guided Brain Tumor Segmentation via Sub-Region-Aware Prompts (2026)
  Bahram Mohammadi et al.
  1.78
• Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis (2026)
  Lu Zhang et al.
  1.72
• Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology (2026)
  Minghao Han et al.
  1.72
• Effective and Robust Multimodal Medical Image Analysis (2026)
  Joy Dhar and Nayyar Zaidi and Maryam Haghighat
  1.72
• Atlas 2 -- Foundation models for clinical deployment (2026)
  Maximilian Alber et al.
  1.67
• The pretraining domain outweighs the training objective in setting the privacy-utility trade-off of differentially private medical image analysis (2026)
  Soroosh Tayebi Arasteh et al.
  1.67
• Structural Prognostic Event Modeling For Multimodal Cancer Survival Analysis (2026)
  Yilan Zhang, Li Nanbo, Changchun Yang, et al.
  1.61
• Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction (2025)
  Niklas Bubeck et al.
  1.39
• CARE: Anti-entanglement Ultrasound Image Segmentation via Channel-Aware Region Extrication (2025)
  Weixin Xu et al.
  1.39
• Scalable And Loosely-coupled Multimodal Deep Learning For Breast Cancer Subtyping (2025)
  Mohammed Amer, Mohamed A. Suliman, Tu Bui, et al.
  1.28
• Imputmae: Multi-modal Transformer With Masked Pre-training For Missing Modalities Imputation In Cancer Survival Prediction (2025)
  Maria Boyko, Aleksandra Beliaeva, Dmitriy Kornilov, et al.
  1.28
• Enriched Text-guided Variational Multimodal Knowledge Distillation Network (VMD) For Automated Diagnosis Of Plaque Vulnerability In 3D Carotid Artery MRI (2025)
  Bo Cao, Fan Yu, Mengmeng Feng, et al.
  1.28
• Synergy Vs. Noise: Performance-guided Multimodal Fusion For Biochemical Recurrence-free Survival In Prostate Cancer (2025)
  Seth Alain Chang, Muhammad Mueez Amjad, Noorul Wahab, et al.
  1.28
• Machine Learning-based Multimodal Prognostic Models Integrating Pathology Images And High-throughput Omic Data For Overall Survival Prediction In Cancer: A Systematic Review (2025)
  Charlotte Jennings, Andrew Broad, Lucy Godson, et al.
  1.28
• Medpatch: Confidence-guided Multi-stage Fusion For Multimodal Clinical Data (2025)
  Baraa Al Jorf, Farah Shamout
  1.28
• Contrastive Cross-modal Learning For Infusing Chest X-ray Knowledge Into Ecgs (2025)
  Vineet Punyamoorty, Aditya Malusare, Vaneet Aggarwal
  1.28
• HER2 Expression Prediction With Flexible Multi-modal Inputs Via Dynamic Bidirectional Reconstruction (2025)
  Jie Qin, Wei Yang, Yan Su, et al.
  1.28
• A Fine-grained Attention And Geometric Correspondence Model For Musculoskeletal Risk Classification In Athletes Using Multimodal Visual And Skeletal Features (2025)
  Md. Abdur Rahman, Mohaimenul Azam Khan Raiaan, Tamanna Shermin, et al.
  1.28